Fei Hao
Impact in
- Computational Mathematics top 2%
- Artificial Intelligence top 1%
- Topic Modeling
- Advanced Graph Neural Networks
Papers in
-
- Complex Network Analysis Techniques 37
- Opinion Dynamics and Social Influence 12
- Co-authors
- Geyong MinLaurence T. YangDoo-Soon ParkZheng PeiXiaoming WangYaguang LinChangqing LuoMan Lin
- Journals
- IEEE Transactions on Computational Social Systems (6 papers)IEEE Transactions on Services Computing (5 papers)Journal of Ambient Intelligence and Humanized Computing (5 papers)Future Generation Computer Systems (5 papers)IEEE Access (4 papers)
- Partner nations
- ChinaUnited KingdomSouth Korea
In The Last Decade
Fei Hao
155 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 149
- Computational Mathematics 55
- Artificial Intelligence 853
- Statistical and Nonlinear Physics 318
- Computer Science Applications 139
- Information Systems 534
Countries citing papers authored by Fei Hao
This map shows the geographic impact of Fei Hao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fei Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Hao more than expected).
Fields of papers citing papers by Fei Hao
This network shows the impact of papers produced by Fei Hao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fei Hao. The network helps show where Fei Hao may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Hao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 10 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 17 | |
| 12 | 2022 | 60 | |
| 13 | 2022 | 4 | |
| 14 | 2021 | 7 | |
| 15 | 2021 | 3 | |
| 16 | 2019 | 57 | |
| 17 | 2019 | 10 | |
| 18 | 2017 | 34 | |
| 19 | 2017 | 28 | |
| 20 | 2012 | 13 |
About Fei Hao
Fei Hao is a scholar working on Computational Mathematics, Statistical and Nonlinear Physics, Computer Science Applications, Artificial Intelligence and Computational Theory and Mathematics, having authored 167 papers that have together received 2.2k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (37 papers), Rough Sets and Fuzzy Logic (29 papers), Advanced Graph Neural Networks (24 papers), Recommender Systems and Techniques (17 papers), Topic Modeling (16 papers), IoT and Edge/Fog Computing (14 papers), Data Management and Algorithms (12 papers) and Opinion Dynamics and Social Influence (12 papers). The work is most often cited by research in Computational Mathematics (55 citations), Artificial Intelligence (853 citations), Statistical and Nonlinear Physics (318 citations), Computer Science Applications (139 citations) and Information Systems (534 citations). Fei Hao has collaborated with scholars based in China, United Kingdom and South Korea. Frequent co-authors include Geyong Min, Laurence T. Yang, Doo-Soon Park, Zheng Pei, Xiaoming Wang, Yaguang Lin, Changqing Luo, Man Lin, Donghong Ji and Yafeng Ren. Their work appears in journals such as IEEE Transactions on Computational Social Systems, IEEE Transactions on Services Computing, Journal of Ambient Intelligence and Humanized Computing, Future Generation Computer Systems and IEEE Access.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.